Title :
SIFT Based Registration of Remotely-Sensed Imagery
Author :
Kai, Wang ; Bo, Cheng
Author_Institution :
Center for Earth Obs. & Digital Earth, Grad. Univ. of Chinese Acad. of Sci., Beijing, China
Abstract :
This paper applies one kind of methods of automatic image registration, Scale Invariant Feature Transform(SIFT), into the region of remote sensing images. It has been found that SIFT can extract the features invariant to scale and rotation with specific key point descriptors as matching points for the registration of remote sensing images. Experimental results are discussed in the last part of this paper, and has confirmed the validity of the proposed method.
Keywords :
feature extraction; geophysical image processing; image matching; image registration; remote sensing; SIFT; SIFT based registration; automatic image registration; features extraction; keypoint descriptor; point matching; remotely sensed imagery; scale invariant feature transform; Earth; Feature extraction; Image matching; Image registration; Image resolution; Imaging; Remote sensing; SIFT; automatic registration; remote sensing image;
Conference_Titel :
Future Computer Sciences and Application (ICFCSA), 2011 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-0317-1
DOI :
10.1109/ICFCSA.2011.28
